Copertina

Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents: Pathways and Paradigms

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chatterjee, Abhijit, Jha, Niraj K., Cohen, Jonathan D., Griffiths, Thomas L., Lu, Hongjing, Marculescu, Diana, Rasul, Ashiqur, Parhi, Keshab K.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

DANCE: Dynamic 3D CNN Pruning: Joint Frame, Channel, and Feature Adaptation for Energy Efficiency on the Edge
di: Mejri, Mohamed, et al.
Pubblicazione: (2026)

The Equivalence of Fast Algorithms for Convolution, Parallel FIR Filters, Polynomial Modular Multiplication, and Pointwise Multiplication in DFT/NTT Domain
di: Parhi, Keshab K.
Pubblicazione: (2025)

An Iterated Hybrid Fast Parallel FIR Filter
di: Parhi, Keshab K.
Pubblicazione: (2026)

A Low-Latency FFT-IFFT Cascade Architecture
di: Parhi, Keshab K.
Pubblicazione: (2023)

An Optimized Nearest Neighbor Compliant Quantum Circuit for 5-qubit Code
di: Mondal, Arijit, et al.
Pubblicazione: (2024)

Quantum Circuits for Stabilizer Error Correcting Codes: A Tutorial
di: Mondal, Arijit, et al.
Pubblicazione: (2023)

A Survey of Attacks on Large Language Models
di: Xu, Wenrui, et al.
Pubblicazione: (2025)

Encoder Circuit Optimization for Non-Binary Quantum Error Correction Codes in Prime Dimensions: An Algorithmic Framework
di: Sodhani, Aditya, et al.
Pubblicazione: (2025)

Robust Clustering using Hyperdimensional Computing
di: Ge, Lulu, et al.
Pubblicazione: (2023)

Systematic Design and Optimization of Quantum Circuits for Stabilizer Codes
di: Mondal, Arijit, et al.
Pubblicazione: (2023)

LayerPipe2: Multistage Pipelining and Weight Recompute via Improved Exponential Moving Average for Training Neural Networks
di: Unnikrishnan, Nanda K., et al.
Pubblicazione: (2025)

Long Polynomial Modular Multiplication using Low-Complexity Number Theoretic Transform
di: Chiu, Sin-Wei, et al.
Pubblicazione: (2023)

SpikePipe: Accelerated Training of Spiking Neural Networks via Inter-Layer Pipelining and Multiprocessor Scheduling
di: Sanjeet, Sai, et al.
Pubblicazione: (2024)

METRIK: Measurement-Efficient Randomized Controlled Trials using Transformers with Input Masking
di: Lala, Sayeri, et al.
Pubblicazione: (2024)

PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay for Smart Healthcare
di: Li, Chia-Hao, et al.
Pubblicazione: (2024)

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need
di: Dedhia, Bhishma, et al.
Pubblicazione: (2025)

High-Speed VLSI Architectures for Modular Polynomial Multiplication via Fast Filtering and Applications to Lattice-Based Cryptography
di: Tan, Weihang, et al.
Pubblicazione: (2021)

Learning Interpretable Differentiable Logic Networks for Time-Series Classification
di: Yue, Chang, et al.
Pubblicazione: (2025)

Uncertainty-Aware Transformers: Conformal Prediction for Language Models
di: Vellore, Abhiram, et al.
Pubblicazione: (2026)

TAD-SIE: Sample Size Estimation for Clinical Randomized Controlled Trials using a Trend-Adaptive Design with a Synthetic-Intervention-Based Estimator
di: Lala, Sayeri, et al.
Pubblicazione: (2024)

Learning Interpretable Differentiable Logic Networks
di: Yue, Chang, et al.
Pubblicazione: (2024)

Knowledge Graph-Driven Expert-Level Reasoning for Neuroscience
di: Stephen, Jake, et al.
Pubblicazione: (2026)

Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations
di: Dedhia, Bhishma, et al.
Pubblicazione: (2024)

Learning Interpretable Differentiable Logic Networks for Tabular Regression
di: Yue, Chang, et al.
Pubblicazione: (2025)

HEED: Density-Weighted Residual Alignment for Hybrid Vision-Language Model Distillation
di: Liang, Yihao, et al.
Pubblicazione: (2026)

LinMU: Multimodal Understanding Made Linear
di: Wang, Hongjie, et al.
Pubblicazione: (2026)

Knowledge Graphs are Implicit Reward Models: Path-Derived Signals Enable Compositional Reasoning
di: Kansal, Yuval, et al.
Pubblicazione: (2026)

PaReNTT: Low-Latency Parallel Residue Number System and NTT-Based Long Polynomial Modular Multiplication for Homomorphic Encryption
di: Tan, Weihang, et al.
Pubblicazione: (2023)

Geo-OLM: Enabling Sustainable Earth Observation Studies with Cost-Efficient Open Language Models & State-Driven Workflows
di: Stamoulis, Dimitrios, et al.
Pubblicazione: (2025)

COMFORT: A Continual Fine-Tuning Framework for Foundation Models Targeted at Consumer Healthcare
di: Li, Chia-Hao, et al.
Pubblicazione: (2024)

DOCTOR: A Multi-Disease Detection Continual Learning Framework Based on Wearable Medical Sensors
di: Li, Chia-Hao, et al.
Pubblicazione: (2023)

GraphMERT: Efficient and Scalable Distillation of Reliable Knowledge Graphs from Unstructured Data
di: Belova, Margarita, et al.
Pubblicazione: (2025)

Shared Awareness Across Domain‐Specific Artificial Intelligence: An Alternative to Domain‐General Intelligence and Artificial Consciousness
di: Ophelia Deroy, et al.
Pubblicazione: (2024)

Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers
di: Wang, Hongjie, et al.
Pubblicazione: (2023)

CONFINE: Conformal Prediction for Interpretable Neural Networks
di: Huang, Linhui, et al.
Pubblicazione: (2024)

SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners
di: Liang, Feng, et al.
Pubblicazione: (2022)

ELANA: A Simple Energy and Latency Analyzer for LLMs
di: Chiang, Hung-Yueh, et al.
Pubblicazione: (2025)

Ada-VE: Training-Free Consistent Video Editing Using Adaptive Motion Prior
di: Mahmud, Tanvir, et al.
Pubblicazione: (2024)

Unraveling the collinearity in short-range order parameters for lattice configurations arising from topological constraints
di: Chatterjee, Abhijit
Pubblicazione: (2024)

Q-Sched: Pushing the Boundaries of Few-Step Diffusion Models with Quantization-Aware Scheduling
di: Frumkin, Natalia, et al.
Pubblicazione: (2025)